Proprietary Framework

The Real-Time Phishing Response Architecture™

by DefenceNet

Technical implementation standards for deploying synchronous, pre-click phishing interception across cloud, mobile, on-premises, and carrier environments.

Deployment Models

☁️

Cloud API

Integrates directly with Microsoft 365 or Google Workspace via their native APIs. Zero MX changes. Analyzes emails post-delivery and pre-user-interaction.

Response Latency

< 50ms

Coverage

Email + Internal

Data Sovereignty

Cloud-resident data

Best for: Commercial enterprises, M365/Google Workspace environments

📱

On-Device Mobile

Lightweight neural engine (~50MB) runs natively on iOS/Android. Processes all URL interactions locally, providing zero-latency protection for mobile users.

Response Latency

< 10ms (local)

Coverage

Email + SMS + Browser + Apps

Data Sovereignty

Fully on-device

Best for: Mobile workforce, high-risk users, personal devices

🏛️

On-Premises Container

Full Neural Defense Engine deployed as a containerized workload within the organization's own data center. No external data egress. Air-gapped capable.

Response Latency

< 100ms

Coverage

Email + Internal (full perimeter)

Data Sovereignty

All data on-premises

Best for: Government, defense, regulated financial institutions

📡

Telco Gateway

Carrier-grade integration at the SMS gateway level. Analyzes URLs embedded in text messages at network scale before they are delivered to subscriber handsets.

Response Latency

< 200ms (network-scale)

Coverage

SMS/MMS (carrier-wide)

Data Sovereignty

Telco data center

Best for: Telecommunications providers, mobile network operators

Architectural Design Principles

The Real-Time Phishing Response Architecture™ is governed by three core design principles that apply across all deployment models:

  • Synchronous Interception: The defense must operate synchronously — the threat assessment must complete before the user's intended action executes. Asynchronous or post-facto detection is insufficient for preventing credential harvesting or social engineering.
  • Minimal Footprint: The detection engine is engineered to operate with minimum computational overhead. The mobile on-device model is ~50MB. The cloud API model introduces sub-50ms latency. These constraints ensure protection does not create friction that causes users to bypass it.
  • Deployment Flexibility: No single deployment model is optimal for all organizational contexts. The architecture is designed to allow hybrid configurations — for example, cloud API for email combined with on-device mobile for personal devices — without requiring separate management consoles.

The Response Decision Tree

When a potential phishing interaction is identified, the architecture executes a precise response decision tree based on the confidence score, threat classification, and configured policy:

  1. High Confidence Threat (>95% confidence): Synchronous block. The link does not resolve. The user is presented with a clear, plain-language explanation of why the interaction was stopped and who to contact for further assistance.
  2. Medium Confidence (>70%, <95%): Warn and confirm. The user is presented with an intelligent warning explaining the specific risk signals detected, with an option to confirm intentional access (logged for SOC review).
  3. Low Confidence (<70%): Allow with logging. The interaction proceeds, but the event is logged with full contextual data for SOC review. Repeated low-confidence accesses from the same user or to the same destination auto-escalate to a review queue.
  4. Post-Incident Remediation: For all blocked or confirmed threats, automated remediation actions are triggered — inbox sweep for similar links, SOC alert with full context, and optional organizational notification.

SIEM and SOAR Integration

The architecture exports all detection events, verdicts, and remediation actions in standard formats (CEF, JSON, Syslog) for integration into SIEM platforms (Splunk, Microsoft Sentinel, IBM QRadar). SOAR playbook triggers are available for automated incident response workflows, allowing organizations to incorporate phishing response into their existing automated security operations processes. Learn how this integrates with the full organizational response in The AI Fraud Prevention Lifecycle™.

Deploy the Architecture That Fits Your Environment

Cloud API, on-device mobile, on-premises container, or telco gateway — DefenceNet deploys to your environment without compromising on speed or coverage.